The Research Engineer will develop hybrid process models that combine first-principles simulation and machine learning to support the design and scale-up of emerging membrane technologies for decarbonization.
The Research Engineer will work under the guidance of Prof. Yoel René Cortés-Peña and collaborate with other researchers at the National University of Singapore on modelling, experimental validation, and technology optimization.
The role will involve building process models that leverage machine learning to estimate uncertain performance parameters from experimental data. The engineer will conduct techno-economic and environmental analyses to identify promising designs, guide experimental efforts, and iteratively improve model predictions as new data become available.
The candidate must have B.S. in Chemical Engineering, Chemistry, or a closely related field. The candidate must also have research experience on membrane technologies and a strong interest in machine learning and design of experiments.
Job details are sourced from the employer's original posting.
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The National University of Singapore is a leading global university known for its research and academic excellence.